Big Data are becoming an integrative part of business development. The progress with analysis of these data is directly linked to innovative machine learning approaches, such as convolutional and deep learning neural networks, which have already found multiple successful applications in image processing, voice recognition, etc. The use of these technologies in chemistry is not straightforward: in addition to excellent computer science knowledge and infrastructure, a deep domain expertise is required to transform data and modeling results into information and knowledge.